NanoNets vs Paperspace: What are the differences?
NanoNets: Machine learning API with less data. Build a custom machine learning model without expertise or large amount of data. Just go to nanonets, upload images, wait for few minutes and integrate nanonets API to your application; Paperspace: The way to access and manage limitless computing power in the cloud. It is a high-performance cloud computing and ML development platform for building, training and deploying machine learning models. Tens of thousands of individuals, startups and enterprises use it to iterate faster and collaborate on intelligent, real-time prediction engines.
NanoNets and Paperspace belong to "Machine Learning as a Service" category of the tech stack.
Some of the features offered by NanoNets are:
- Image categorization API with less than 30 images per category
- Custom object localization API
- Text deduplication API
On the other hand, Paperspace provides the following key features:
- Intelligent alert
- Two-factor authentication
- Share drives